ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTING (ISCSITR-IJCC)

About the Journal

ISCSITR - International Journal of Cloud Computing (ISCSITR-IJCC) is an open-access, peer-reviewed journal dedicated to publishing high-quality research on cloud computing technologies and applications. It covers topics such as cloud architecture, security, virtualization, distributed computing, data storage, and cloud-based services. The journal provides a platform for researchers and professionals to share innovative solutions and advancements in the evolving field of cloud computing.

Current Issue

Vol. 1 No. 1 (2025): ISCSITR - International Journal of Cloud Computing (ISCSITR-IJCC)

Volume 1, Issue 01, (January-March-2025)

Articles

Federated Threat Intelligence Frameworks for Autonomous Network De-fense in Cloud-Edge Environments Using Secure Computation

Aybars Gkioulos (Author)

1-6
- pdf
Lightweight Symmetric and Asymmetric Cryptographic Protocols for Ultra-Low-Power Internet of Things Devices in Constrained Environments

Tendayi Tsokota (Author)

7-13
- pdf
Dynamic Binary Analysis and Code Similarity Detection Techniques for Unveiling Polymorphic and Metamorphic Malware Variants in Evasive Attack Campaigns

M. D. Manikas (Author)

14-26
- pdf
AI-Augmented Incident Response Strategies for Real-Time Detection, Containment, and Mitigation of Multi-Stage Cyber Attacks in Large-Scale Critical Infrastructures

Cagatay Katos (Author)

27-33
- pdf
Privacy Risks and Ethical Challenges in Large-Scale AI-Powered Surveillance Systems and Mitigation Strategies for Ensuring User Anonymity and Data Protection

C.K. Ahmet (Author)

34-40
- pdf

View All Issues

About the Journal

Current Issue

Articles

Federated Threat Intelligence Frameworks for Autonomous Network De-fense in Cloud-Edge Environments Using Secure Computation

Lightweight Symmetric and Asymmetric Cryptographic Protocols for Ultra-Low-Power Internet of Things Devices in Constrained Environments

Dynamic Binary Analysis and Code Similarity Detection Techniques for Unveiling Polymorphic and Metamorphic Malware Variants in Evasive Attack Campaigns

AI-Augmented Incident Response Strategies for Real-Time Detection, Containment, and Mitigation of Multi-Stage Cyber Attacks in Large-Scale Critical Infrastructures

Privacy Risks and Ethical Challenges in Large-Scale AI-Powered Surveillance Systems and Mitigation Strategies for Ensuring User Anonymity and Data Protection

Make a Submission